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ICPR
2008
IEEE
15 years 8 months ago
Prior-updating ensemble learning for discrete HMM
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
Gyeongyong Heo, Paul D. Gader
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
15 years 5 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
IJCAI
1989
15 years 2 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
ICML
2007
IEEE
16 years 2 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
99
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ICALT
2003
IEEE
15 years 6 months ago
A Conformance Test Suite of Localized LOM Model
Since the approval of IEEE LOM Draft Standard and the advance of network-driven learning technology, a large number of resource database constructors, content developers and learn...
Xin Xiang, Yuanchun Shi, Ling Guo